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  • Implement Responsible Machine Learning

Results for "implement responsible machine learning"


  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Model Evaluation, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Data Presentation, Machine Learning, Matplotlib, Supervised Learning, Unsupervised Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Building and Optimizing Decision Systems

    Skills you'll gain: Responsible AI, Decision Support Systems, Strategic Decision-Making, Operational Efficiency, Predictive Modeling, Process Optimization, Business Modeling, Predictive Analytics, Data-Driven Decision-Making, Data Pipelines, Business Intelligence, Data Ethics, Scenario Testing, Forecasting, Governance, Artificial Intelligence and Machine Learning (AI/ML), Data Visualization, Scikit Learn (Machine Learning Library), Python Programming, Regression Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master Ethical & AI-Driven Market Decision-Making

    Skills you'll gain: Data Ethics, Responsible AI, Business Ethics, Strategic Decision-Making, Data Management, Strategic Thinking, Information Privacy, Market Research, Ethical Standards And Conduct, Governance, Strategic Leadership, Artificial Intelligence, Market Analysis, Diversity and Inclusion, Regulatory Requirements, Social Studies

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI: Applying AI Principles with GC - 繁體中文

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Business Ethics, AI Security, Google Cloud Platform, Ethical Standards And Conduct, Auditing, Accountability, Decision Making

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Methodology and Ethics in AI

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Model Deployment, Debugging, Artificial Intelligence, Machine Learning, Ethical Standards And Conduct, Model Evaluation, Applied Machine Learning, Social Impact, Unstructured Data, Data-Driven Decision-Making, Information Privacy, Case Studies

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Machine Learning with Azure

    Skills you'll gain: Data Preprocessing, Model Deployment, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Data Cleansing, Supervised Learning, Data Transformation, Model Evaluation, Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master Ethical AI: Analyze, Evaluate & Lead Responsibly

    Skills you'll gain: Data Ethics, Responsible AI, AI Security, Business Ethics, Artificial Intelligence, Information Privacy, Ethical Standards And Conduct, Regulatory Requirements, Emerging Technologies, Strategic Leadership, Accountability, Diversity and Inclusion, Stakeholder Engagement

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    85 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency

    Skills you'll gain: Responsible AI, Machine Learning, Artificial Intelligence, Interoperability, Model Evaluation, Data Ethics, Model Deployment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Simplilearn

    Ethics of Generative AI

    Skills you'll gain: Responsible AI, Data Ethics, General Data Protection Regulation (GDPR), Ethical Standards And Conduct, Business Ethics, Information Privacy, Case Studies, Regulatory Compliance, Healthcare Ethics, Law, Regulation, and Compliance, Artificial Intelligence, Model Evaluation, Socioeconomics, Social Studies

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    F

    Fred Hutchinson Cancer Center

    Developing AI Policy

    Skills you'll gain: Policy Development, Data Ethics, Responsible AI, Stakeholder Engagement, Intellectual Property, Compliance Management, Regulation and Legal Compliance, Legal Strategy, Artificial Intelligence, Governance, Generative AI, Education and Training, Data Science

    4.2
    Rating, 4.2 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

1…8910…794

In summary, here are 10 of our most popular implement responsible machine learning courses

  • AI with Python: Apply & Implement ML Models: EDUCBA
  • Building and Optimizing Decision Systems: Edureka
  • Master Ethical & AI-Driven Market Decision-Making: EDUCBA
  • Responsible AI: Applying AI Principles with GC - 繁體中文: Google Cloud
  • Practical Methodology and Ethics in AI: Johns Hopkins University
  • Foundations of Machine Learning with Azure: Packt
  • Master Ethical AI: Analyze, Evaluate & Lead Responsibly: EDUCBA
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Responsible AI for Developers: Interpretability & Transparency: Google Cloud
  • Ethics of Generative AI: Simplilearn

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